投资者关系活动类别 □ 特定对象调研 □ 分析师会议 □ 媒体采访 ☑ 业绩说明会 □ 新闻发布会 □ 路演活动 □ 现场参观 □ 其他 （请文字说明其他活动内容） 参与单位名称及人员姓名 线上参与公司 2025 年山东辖区上市公司投资者网上 集体接待日活动的投资者 时间 2025 年 05 月 15 日 15:00-16:30 地点 全景投资者关系互动平台（https://ir.p5w.net） 上市公司接待人员姓名 总经理 张开旭 董事会秘书 卢中庆 财务总监 刘海燕 投资者关系活动主要内容介 绍 1、支持公司大力发展机器人，网联网智能系统 感谢您对公司的关爱和支持。 2、公司智能物联网系统，工业机器人发展趋势？ 尊敬的投资者，您好！目前，公司主要业务为向 客户提供涵盖汽车、工程机械及其零部件生产的智能 装备系统，根据客户的特定需求，提供从设计、制造、 证券代码： 301199 证券简称：迈赫股份 迈赫机器人自动化股份有限公司 投资者关系活动记录表 编号：2025-002 尊敬的投资者，您好！2024 年公司的研发费用金 额为 4,794.66 万元，较上年同期增加 44.16%。 2024 年研发主要投 ...

Core Insights - The article discusses the transformative impact of digital twin technology on industrial parks, emphasizing its role in enhancing management, operational intelligence, and service-oriented transformation [2][4][7]. Definition and Concept of Industrial Parks - Industrial parks are defined as regions that attract specific types of enterprises through the provision of infrastructure, production space, and comprehensive support services, aimed at promoting regional industrial cluster development and economic growth [2][9]. Development History of Industrial Parks - The evolution of industrial parks has gone through four generations, from production-focused parks to those emphasizing technology research and development, green initiatives, and integrated urban-rural development [3][5]. Current Challenges Faced by Industrial Parks - Industrial parks are currently facing six core issues, including inadequate resource management, imprecise enterprise services, inaccurate economic monitoring, unreliable safety and environmental measures, unwise investment attraction, and insufficient project management [4][5][21]. Digital Technology Empowerment - Digital technologies such as 3DGIS, BIM, mobile internet, AI, IoT, big data, and cloud computing present new opportunities for the development of industrial parks, enabling the creation of a digital foundation for smart operations and management [4][29]. Digital Twin Industrial Park Construction - The concept of a "digital twin" industrial park aims to enhance the intelligent level of enterprise production operations, park management, and public services through a structured approach that includes comprehensive planning, phased implementation, government guidance, market-driven initiatives, and innovation [4][6][37]. Overall Architecture of Digital Twin Industrial Parks - The architecture includes a park operation management center, a comprehensive service center, a mobile app, and a public service portal, facilitating comprehensive digital and intelligent management of the park [4][6][41]. Core Support Platform Construction - Key platforms for smart parks include cloud service platforms, application development platforms, IoT platforms, and video processing platforms, which provide essential service capabilities [6][44]. Park Service Center Development - The service center integrates local and external resources to provide comprehensive smart management and services for parks, enterprises, and individuals, enhancing operational efficiency [7][11][115]. Implementation Pathway Example - The example of Chongqing's smart park implementation outlines steps such as setting construction goals, establishing regulatory platforms, pilot projects, and policy support, serving as a reference for other regions [7][124][125].

园区能源系统面临可再生能源波动性大、多能互补协同性差、碳排放动态监测难等挑战。数字孪生技术 通过构建物理世界与虚拟空间的实时映射，为零碳园区能源配置优化提供了全生命周期解决方案，推动 园区从"被动响应"向"主动创碳"跃迁。 数字孪生技术的核心价值在于其"预测-优化-闭环"能力。在规划阶段，通过三维建模与气象数据融合， 可模拟不同建筑朝向、光伏布局下的发电效率，某园区通过该技术将光伏板布局优化后，年发电量提升 18%。在运营阶段，依托物联网传感器实时采集设备状态、环境参数，数字孪生平台能精准预测能源需 求峰值。例如，某生态园在夏季用电高峰期，通过数字孪生模型提前15分钟预判负荷增长，自动启动储 能系统释放电能，避免电网过载风险。更关键的是，该技术可量化不同减排策略的经济效益。某园区模 拟碳交易市场机制后，发现通过调整储能充放电策略，每年可增加碳资产收益超200万元。 在能源生产端，数字孪生技术破解了可再生能源"靠天吃饭"的难题。通过整合风速、光照、温度等多元 数据，平台可构建风光发电功率预测模型，某风电场应用后预测准确率提升至92%，弃风率下降至3% 以下。在能源传输环节，泛能网技术结合数字孪生，实现电、热、冷 ...

Investment Rating - The report maintains a "Buy" rating for the company [5]. Core Views - The company reported a steady growth in net profit of 6.06% for 2024 and a year-on-year increase of 14.14% in Q1 2025, indicating robust performance [1][2]. - The expected investment scale from the State Grid will exceed 650 billion yuan in 2025, with the Southern Grid planning a fixed asset investment of 175 billion yuan, suggesting a high industry prosperity [1][12]. - The company secured new contracts worth 66.3 billion yuan in 2024, a year-on-year increase of 13.78%, ensuring a solid foundation for future growth [1][10]. Summary by Sections Financial Performance - In 2024, the company achieved an operating income of 57.417 billion yuan, a year-on-year increase of 11.15%, with a net profit of 7.610 billion yuan, up 6.06% [2][3]. - For Q1 2025, the operating income was 8.895 billion yuan, reflecting a 14.76% year-on-year growth, with a net profit of 680 million yuan, increasing by 14.14% [2][3]. Business Segments - The smart grid business showed stability with a revenue of 28.468 billion yuan in 2024, growing by 10.7%, and a gross margin of 29.52% [4]. - The energy low-carbon segment experienced significant growth, with revenue reaching 12.185 billion yuan, a 26.43% increase [9]. Market Outlook - The industry is expected to maintain a high level of prosperity, with significant investments planned by the State Grid and Southern Grid [12]. - The company is actively expanding its market presence both domestically and internationally, with successful bids for major projects in various regions [13]. Order Backlog - The company has a strong order backlog of 50.697 billion yuan, with new signed orders amounting to 29.006 billion yuan in 2024 [10]. Research and Development - The company increased its R&D investment to 4.032 billion yuan in 2024, representing 7.02% of its operating income, focusing on smart grid upgrades and digital technologies [11].

Core Viewpoint - Nobikang Artificial Intelligence Technology (Chengdu) Co., Ltd. has submitted a listing application to the Hong Kong Stock Exchange, with CICC as the sole sponsor, marking a significant step in its growth strategy in the AI sector [1]. Company Overview - Nobikang focuses on advanced technologies such as artificial intelligence and digital twins, providing integrated hardware and software solutions based on comprehensive AI industry models [5]. - The company has developed the NBK-INTARI AI platform, which empowers clients in transportation, energy, and urban governance through intelligent monitoring, detection, and operation and maintenance [5]. Market Position - In 2023, Nobikang ranked as the seventh largest provider of AI+ detection and monitoring solutions in China's rail transit industry [5]. - The market size for AI+ transportation solutions in China reached RMB 238.4 billion in 2023, with projections to grow to RMB 518.2 billion by 2028, reflecting a compound annual growth rate (CAGR) of 17.7% [5]. - The AI+ energy solutions market was valued at RMB 0.5 trillion in 2023, expected to increase to RMB 1.1 trillion by 2028, with a CAGR of 19.0% [5]. - The AI+ urban governance solutions market reached RMB 0.6 trillion in 2023, projected to grow to RMB 1.2 trillion by 2028, with a CAGR of 14.3% [5]. Revenue Breakdown - Nobikang's revenue is derived from AI+ rail transportation, AI+ energy, and AI+ urban governance, with expansion into other verticals such as AI+ urban traffic, AI+ airports, and AI+ chemicals [6]. - Revenue details by business line for the years ending December 31 are as follows: - AI+ Transportation: RMB 100.98 million in 2022, RMB 110.965 million in 2023 (up 30.5%), projected RMB 209.381 million in 2024 (up 52.0%) [7]. - AI+ Energy: RMB 92.535 million in 2022, RMB 141.725 million in 2023 (up 39.0%), projected RMB 174.497 million in 2024 (up 43.3%) [7]. - AI+ Urban Governance: RMB 59.105 million in 2022, RMB 111.009 million in 2023 (up 30.5%), projected RMB 18.762 million in 2024 (up 4.7%) [7]. Financial Performance - Nobikang's revenue for the fiscal years 2022, 2023, and 2024 is approximately RMB 253 million, RMB 364 million, and RMB 403 million, respectively [8]. - The net profit for the same periods is approximately RMB 63.16 million, RMB 88.57 million, and projected RMB 115.37 million [8].

Core Viewpoint - The development of offshore oil and gas field control systems is shifting towards high integration and autonomy, emphasizing the importance of automation in production management [1][3]. Group 1: Offshore Oil and Gas Field Control Systems - Automation control systems are crucial for the production management of offshore oil and gas fields, ensuring safety and efficiency [1]. - The overall control scheme for offshore facilities must prioritize personnel and equipment safety, prevent environmental pollution, and facilitate operational management [1]. - For large-scale platforms, reliable DCS/PLC control systems should be prioritized, integrating various control systems to enhance management and reduce investment [1][2]. Group 2: Control Systems for Small-Scale Platforms - Small unmanned platforms typically have simpler production processes and often utilize PCS and safety instrumented systems (SIS) [2]. - Integrated control systems (ICS) can be employed for small unmanned platforms to streamline architecture while ensuring redundancy and lowering operational costs [2]. - The system must meet specific safety and power supply requirements to maintain critical functions in extreme environments [2]. Group 3: Comparative Analysis of Control Systems - Domestic control system designs focus on overall controllability and redundancy, while international designs prioritize cost-effectiveness and inherent safety [3]. - The Zawtika gas field in Myanmar exemplifies a low-cost, high-reliability approach, sacrificing some asset protection for personnel safety [3]. - The future of offshore oil and gas field control systems will involve overcoming hardware stability challenges in harsh environments and achieving domestic control in key technology areas [3]. Group 4: Future Directions - The industry aims to achieve intelligent upgrades and autonomous breakthroughs to lower lifecycle costs while ensuring safety [3]. - There are two distinct technical routes being explored: process simulation and pipeline simulation, with a need for collaboration between the two [3].

Group 1 - 30% of global new oil and gas reserves are concentrated in complex geological environments such as deep and ultra-deep layers, which pose significant development challenges [1] - Experts suggest the urgent need to establish a high-end drilling equipment virtual-physical integration intelligent operation and maintenance technology system to address these challenges [1] - The integration of digital twin technology and breakthroughs in virtual sensing theory will become a frontier technology and research hotspot in the field of information-physical systems [1] Group 2 - The demand for oil drilling and completion equipment is increasingly driven by deep exploration and the rise of ultra-deep wells exceeding 9000 meters [2] - There is a growing need for intelligent drilling and completion, integrating AI technology to enhance efficiency, reservoir encounter rates, and oil and gas recovery rates [2] - The industry must focus on enhancing awareness of intelligence and overcoming challenges related to data governance, model transfer, and mechanism-data fusion [2] Group 3 - Intelligent manufacturing requires a deep integration of new-generation information technology and advanced manufacturing technology [3] - The development of intelligent manufacturing must focus on manufacturing knowledge, manufacturing carriers, and manufacturing methods [3] - The goal is to create intelligent equipment characterized by state perception, ubiquitous connectivity, decision optimization, autonomous execution, and efficient energy saving [3]

证券代码：301056 证券简称：森赫股份 编号：2025-001 | 投资者关系活动 | 分析师会议 □ 特定对象调研 □ | | --- | --- | | 类别 | □ 媒体采访 √ 业绩说明会 | | | □ 新闻发布会 □ 路演活动 | | | □ 现场参观 | | | 其他 （2025 年浙江辖区上市公司投资者网上集体接待日暨 √ | | | 年度业绩说明会） 2024 | | 参与单位名称及 | 参加2025年浙江辖区上市公司投资者网上集体接待日暨2024年 | | 人员姓名 | 度业绩说明会的投资者 | | 时间 | 2025 年 5 月 13 日 (周二) 下午 15:00~17:00 | | 地点 | 公司通过全景网"投资者关系互动平台"（https://ir.p5w.net） | | | 采用网络远程的方式召开业绩说明会 | | 上市公司接待人 | 1、董事长、总经理李东流 | | 员姓名 | 2、副董事长、副总经理李仁 | | | 3、董事会秘书王香杰 | | | 4、财务总监凌洪章 | | | 5、独立董事陈刚 | | | 6、保荐代表人冯颂 投资者提出的问题及公司回复情况 | | ...

Group 1 - The core transaction involves Wuhan Yangtze Communication Industry Group Co., Ltd. issuing shares to acquire 100% equity of Di Ai Si and raising supporting funds from China Information Communication Technology Group Co., Ltd. [4][6] - The transaction price for the acquisition of Di Ai Si is set at RMB 1,107.0731 million [4][6]. - The independent financial advisor, Industrial Securities Co., Ltd., has confirmed that the transaction complies with relevant laws and regulations, and the necessary approvals have been obtained [8][9]. Group 2 - As of December 8, 2023, the transfer of 100% equity of Di Ai Si to the listed company has been completed, making Di Ai Si a wholly-owned subsidiary [6][7]. - The company has issued 51,505,546 shares to China Information Communication Technology Group, raising a total of RMB 643.5745 million in net funds [8][9]. - The total number of shares after the issuance will be 329,612,132 [8]. Group 3 - The company has established a comprehensive governance structure and internal control system to ensure orderly operations and compliance with laws and regulations [29]. - The company aims to enhance its competitive advantage and long-term benefits for shareholders through the integration of the target company [28]. - The company has signed performance commitment and compensation agreements to protect the interests of investors, ensuring that any shortfall in net profit will be compensated [29].

Core Viewpoint - The integration of industrial internet technology in the oil industry transforms safety training from a passive response to an active defense mechanism, significantly reducing accident rates and enhancing emergency response efficiency [1][3][4]. Group 1: Safety Management - The dual core of safety management in oilfields consists of accident prevention and emergency response, with safety training acting as the central nervous system connecting both [1]. - Industrial internet technology enables precise risk identification and enhances safety awareness, effectively eliminating hazards at their inception [1][4]. - A digital sandbox is created by integrating operational data, personnel logs, and environmental monitoring, allowing for real-time risk assessment and training [1][4]. Group 2: Training Innovations - Traditional training methods are being replaced by VR and MR technologies, which simulate accident scenarios for more effective learning [3]. - A VR course developed for oilfield workers allows them to practice identifying equipment anomalies and executing emergency procedures in a virtual environment, improving their sensitivity to risks [3]. - The shift to mobile applications and smart wearable devices facilitates fragmented learning and continuous assessment of safety knowledge [3][4]. Group 3: Emergency Response - The use of digital twin technology allows for the creation of three-dimensional simulation models for emergency drills, enhancing collaboration and reducing costs [4][5]. - Historical accident data and expert knowledge are integrated into an emergency decision-making knowledge base, providing quick access to relevant case studies and response strategies during incidents [5]. - The implementation of intelligent decision support systems significantly shortens emergency response times and improves rescue efficiency [5]. Group 4: Overall Impact - The "Smart Oilfield Safety Platform" integrates data collection, AI analysis, VR simulation, and intelligent decision-making, creating a comprehensive safety management system [5]. - Safety training serves as both a firewall for accident prevention and a command tool for emergency response, with industrial internet technology enhancing its effectiveness [5].